Senior Software Engineer (SWE-4)

Leidos has a new and exciting opportunity for a Senior Software Engineer in our Intelligence Sector's Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

Job Summary:

Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click here to learn more about how this program "Delivers Mission Success!"

We are seeking a highly motivated Senior Software Engineer with proven experience in installing, configuring, developing, and integrating prototype applications for technical evaluation. The engineer will be supporting a lab environment providing support for customers developing and testing experiments.

Mission Focus: Develop capabilities designed to help solve common problems arising from various analyst offices. Prototype development to extend enterprise services, support analytics, enhance machine learning, and develop commercial cloud solutions. Support the integration and evaluation of open source, emerging technologies, and new COTS applications. Work directly with customers, developers, or data scientists to gather requirements and feedback.

Technical Proficiency: Experience in integrating with customers' cloud-based data systems. Experience installing, configuring, developing, and integrating prototype applications for technical evaluation.

Qualifications: Bachelor's degree plus eleven (11) to fifteen (15) years of relevant experience or equivalent. Computer Science (CS) degree or related field. Strong development experience in a variety of languages (ex., java, python).

Security Clearance: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.

Desirable Skills: Modeling experience. Machine Learning experience. Experience with Docker containers and Kubernetes. Dev experience on Linux platforms. Analytics development experience. Virtual Machine (VM) experience

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today!

Careers.leidos.com

CONMD

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:
February 2, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $154,050.00 - $278,475.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.